What are the responsibilities and job description for the Senior Software Engineer, Applied Analytics position at ExecutivePlacements.com?
Overview
Senior Software Engineer, Applied Analytics
Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Warren (MI), Austin (TX), or Mountain View (CA), you are expected to report to that location three times a week, at a minimum
Why Join Us
General Motors is at the forefront of transforming transportation through software-driven innovation. Were driven by our bold vision of a future with Zero Crashes, Zero Emissions, and Zero Congestion. As we push forward into an era of vehicle intelligence and digital engineering, Artificial Intelligence and Data Science are a cornerstone of our strategy.
Join a team at the forefront of innovation, where vehicle software design, release, warranty, and telemetry data converge to transform engineering and quality processes.Were pioneering intelligent automation through advanced prognostics powered by smart algorithms, large language models (LLMs), and machine learning driving faster issue resolution and launching vehicles with exceptional quality.
Were looking for aSenior Software Engineer to build data pipelines, deploy scalable, AI-driven solutions, create interactive web apps that deliver measurable impact across vehicle engineering and customer experience.
The Role
As a Senior Software Engineer, youll lead the deployment of scalable AI/ML powered analytics and prognostics applications in a cloud environment, driving innovation across vehicle telemetry and software integration domains.
Youll collaborate cross-functionally with engineers, data scientists, and domain experts to deliver high-impact solutions that improve vehicle quality and customer satisfaction. You will contribute to executive decision-making, product launch strategies, and data-driven quality improvements while staying ahead in a fast-paced, evolving tech landscape.
What Youll Do
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
Senior Software Engineer, Applied Analytics
Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Warren (MI), Austin (TX), or Mountain View (CA), you are expected to report to that location three times a week, at a minimum
Why Join Us
General Motors is at the forefront of transforming transportation through software-driven innovation. Were driven by our bold vision of a future with Zero Crashes, Zero Emissions, and Zero Congestion. As we push forward into an era of vehicle intelligence and digital engineering, Artificial Intelligence and Data Science are a cornerstone of our strategy.
Join a team at the forefront of innovation, where vehicle software design, release, warranty, and telemetry data converge to transform engineering and quality processes.Were pioneering intelligent automation through advanced prognostics powered by smart algorithms, large language models (LLMs), and machine learning driving faster issue resolution and launching vehicles with exceptional quality.
Were looking for aSenior Software Engineer to build data pipelines, deploy scalable, AI-driven solutions, create interactive web apps that deliver measurable impact across vehicle engineering and customer experience.
The Role
As a Senior Software Engineer, youll lead the deployment of scalable AI/ML powered analytics and prognostics applications in a cloud environment, driving innovation across vehicle telemetry and software integration domains.
Youll collaborate cross-functionally with engineers, data scientists, and domain experts to deliver high-impact solutions that improve vehicle quality and customer satisfaction. You will contribute to executive decision-making, product launch strategies, and data-driven quality improvements while staying ahead in a fast-paced, evolving tech landscape.
What Youll Do
- Collaborate with data scientists, and stakeholders to deliver applications that train and serve machine learning models and create apps that make large datasets available to wider audience
- Lead front-end and back-end software architecture, design, and development ensuring alignment with GM technology and security standards.
- Implement software validation, testing, code review, documentation, and production monitoring processes to ensure user satisfaction, quality, and supportability.
- Work with partner teams such as data governance, infrastructure, architecture, and operations on platform management and technology migrations as required.
- Keep up with new trends and technologies and actively seek ways to increase productivity, including using GenAI where appropriate.
- Encourage continuous learning, knowledge sharing, and development within the team and the broader software engineering community.
- Bachelor's degree (or equivalent work experience) in Computer Science, Data Science, or a related field.
- Minimum of 5 years of hands-on experience delivering enterprise-scale software products
- Experience withvisualization tools (Power BI) and libraries (D3.js, Plotly), interactive web apps (Databricks apps, Azure Apps)
- Advanced proficiency in both front-end development (React, Angular, TypeScript, HTML/CSS) and back-end development (Node.js, Python).
- Deep understanding of hybrid-cloud and cloud-native software architecture, system design, and security, including microservices and containerization using Azure, Azure Key Vault, App Services, and Azure Kubernetes Services (or similar cloud platforms).
- Experience with CI/CD processes, including automated builds, deployments, and pipeline development.
- Familiarity with data science use cases and machine learning development lifecycle.
- Exceptional analytical and independent problem-solving capabilities
- Strong listening and communication skills and ability to collaborate cross-functionally.
- Proven ability to lead engineering projects, mentor early-career developers, and collaborate effectively with data scientists, product managers, and non-technical stakeholders.
- Experience with developing and deploying data pipelines
- Experience with Databricks Delta Lake, Mlflow, Unity Catalog.
- Experience integrating machine learning models and Databricks workflows.
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
- The salary range for this role is $134,000 - $205,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
- Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
- Benefits:GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Salary : $134,000 - $205,000